2 citations · 3 across the 4 of their papers we have counts for
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Exploiting Latent Properties to Optimize Neural Codecs
Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser +2
End-to-end image and video codecs are becoming increasingly competitive, compared to traditional compression techniques that have been developed through decades of manual engineeri…
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression
Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier
During the last four years, we have witnessed the success of end-to-end trainable models for image compression. Compared to decades of incremental work, these machine learning (ML)…
Semantic and Geometric Unfolding of StyleGAN Latent Space
Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran +1
Generative adversarial networks (GANs) have proven to be surprisingly efficient for image editing by inverting and manipulating the latent code corresponding to a natural image. Th…
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary +2
In computer vision, one is often confronted with problems of domain shifts, which occur when one applies a classifier trained on a source dataset to target data sharing similar cha…